{"id":"W1567360982","doi":"10.1007/978-3-642-17746-0_45","title":"Preference-Based Web Service Composition: A Middle Ground between Execution and Search","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Task (project management); Composition (language); Web service; Context (archaeology); Preference; Service (business); Quality (philosophy); Quality of service; World Wide Web; Database; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00329441,0.0008085438,0.001243165,0.00129862,0.001216417,0.002940846,0.002309439,0.001243696,0.004976547],"category_scores_gemma":[0.005551307,0.0008430503,0.000976236,0.0024953,0.001999766,0.00554695,0.0019037,0.00179468,0.002345362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023154,"about_ca_system_score_gemma":0.002587673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003811314,"about_ca_topic_score_gemma":0.003189495,"domain_scores_codex":[0.9973247,0.0007275129,0.0001825478,0.0002934416,0.001255846,0.0002159785],"domain_scores_gemma":[0.9973448,0.001192113,0.0001101875,0.0007164146,0.0004400145,0.0001964861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003354153,0.0002981691,0.001015604,0.0004238602,0.0001159189,0.000269681,0.0007710826,0.04097115,0.01824002,0.5971937,0.007378152,0.3329872],"study_design_scores_gemma":[0.00004518713,0.00009562886,0.0003262241,0.00007042225,0.00010459,0.0003793125,0.0002140531,0.4214817,0.01747254,0.5276839,0.03206537,0.0000610211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009870958,0.0005250626,0.9767694,0.0005164299,0.00007463275,0.0001180071,0.00006425792,0.001102952,0.01095827],"genre_scores_gemma":[0.2532867,0.001358698,0.7289653,0.0002475779,0.0001635859,0.0001743762,0.0004418601,0.0006316768,0.0147301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004976547,"threshold_uncertainty_score":0.01742268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006455000870542,"score_gpt":0.2413815968040056,"score_spread":0.2013170467953002,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}